Skip to main content
Log in

Robustness of deep-drawing finite-element simulations to process variations

  • Original Research
  • Published:
International Journal of Material Forming Aims and scope Submit manuscript

Abstract

Robustness of numerical models paves the way for efficient compensation of perturbations resulting in deviations from the nominal conditions. This is critical if the numerical simulations will be used to determine closed-loop process control adjustments to assure the final part quality. This work details the procedure to establish and validate numerical process models, through an investigation of deep-drawing of AA1100-O blanks using 3D Servo Press. Of particular interest is the robustness of the deep-drawing simulation models to different process variations and off-design conditions. The experiments are performed on a 3D Servo Press, used as a conventional press, and equipped with a spring-loaded blank holder. From the experiments, the punch force–displacement as well as local features, i.e., flange draw-in and wall-thinning, are obtained. Two types of finite element models of the drawing process are created, one using shell and the other using solid elements. Correspondingly, the plastic anisotropy of the blanks is modeled using the Yld2000-2d (2D) and Yld2004-18p (3D) yield functions. The friction coefficient between the blank and tooling is inversely identified by comparing the simulated punch force–displacement response, flange draw-in and thickness variations with the experimental ones. The robustness of the numerical and material models is confirmed by process variations on the geometry of the blanks, i.e., an initial offset of blank center and elliptical blanks. However, the wrinkling of the flange due to variation of the blank holder force is not captured by the model. A modification to the model, i.e., by introducing appropriate geometric imperfections to the blank, enables it to predict the flange wrinkling. This work investigates the robustness of numerical models to different types of process variations, which is vital in model-based control analyses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

References

  1. Volk W, Groche P, Brosius A, Ghiotti A, Kinsey BL, Liewald M, Madej L, Min J, Yanagimoto J (2019) Models and modelling for process limits in metal forming. CIRP Ann 68:775–798

    Article  Google Scholar 

  2. Strano M, Burdi A (2007) Classification of problems under uncertainty, in fem-based analysis and design of sheet metal forming operations. In: Key Engineering Materials. Trans Tech Publ, pp 817–824

  3. Alavala CR (2016) Effect of Temperature, Strain Rate and Coefficient of Friction on Deep Drawing Process of 6061 Aluminum Alloy. Int J Mech Eng 5:11–24

    Google Scholar 

  4. Kim H, Altan T, Yan Q (2009) Evaluation of stamping lubricants in forming advanced high strength steels (AHSS) using deep drawing and ironing tests. J Mater Process Technol 209:4122–4133

    Article  Google Scholar 

  5. Tian H, Brownell B, Baral M, Korkolis YP (2017) Earing in cup-drawing of anisotropic Al-6022-T4 sheets. Int J Mater Form 10:329–343. https://doi.org/10.1007/s12289-016-1282-y

    Article  Google Scholar 

  6. Coer J, Laurent H, Oliveira MC, Manach P-Y, Menezes LF (2018) Detailed experimental and numerical analysis of a cylindrical cup deep drawing: pros and cons of using solid-shell elements. Int J Mater Form 11:357–373

    Article  Google Scholar 

  7. Yalçın S (2010) Analysis and modeling of plastic wrinkling in deep drawing

  8. Vrh M, Halilovič M, Starman B, Štok B, Comsa D-S, Banabic D (2014) Capability of the BBC2008 yield criterion in predicting the earing profile in cup deep drawing simulations. Eur J Mech - A/Solids 45:59–74. https://doi.org/10.1016/j.euromechsol.2013.11.013

    Article  MathSciNet  MATH  Google Scholar 

  9. Yoon J-W, Barlat F, Dick RE, Chung K, Kang TJ (2004) Plane stress yield function for aluminum alloy sheets—part II: FE formulation and its implementation. Int J Plast 20:495–522. https://doi.org/10.1016/S0749-6419(03)00099-8

    Article  MATH  Google Scholar 

  10. Moreira LP, Ferron G, Ferran G (2000) Experimental and numerical analysis of the cup drawing test for orthotropic metal sheets. J Mater Process Technol 108:78–86. https://doi.org/10.1016/S0924-0136(00)00660-9

    Article  Google Scholar 

  11. Barrett TJ, Knezevic M (2019) Deep drawing simulations using the finite element method embedding a multi-level crystal plasticity constitutive law: experimental verification and sensitivity analysis. Comput Methods Appl Mech Eng 354:245–270

    Article  MathSciNet  Google Scholar 

  12. Neto DM, Oliveira MC, Dick RE, Barros PD, Alves JL, Menezes LF (2017) Numerical and experimental analysis of wrinkling during the cup drawing of an AA5042 aluminium alloy. Int J Mater Form 10:125–138

    Article  Google Scholar 

  13. Zhuang S (2008) Enhancing Implicit Finite Element Sheet Forming Simulation. Doctoral Dissertation, The Ohio State University

  14. Pelz PF, Groche P, Pfetsch M, Schäffner M (2021) Mastering Uncertainty in Mechanical Engineering

  15. Padmanabhan R, Oliveira MC, Alves JL, Menezes LF (2007) Influence of process parameters on the deep drawing of stainless steel. Finite Elem Anal Des 43:1062–1067

    Article  Google Scholar 

  16. Thuillier S, Manach PY, Menezes LF, Oliveira MC (2002) Experimental and numerical study of reverse re-drawing of anisotropic sheet metals. J Mater Process Technol 125:764–771

    Article  Google Scholar 

  17. Yoon JW, Barlat F, Dick RE, Karabin ME (2006) Prediction of six or eight ears in a drawn cup based on a new anisotropic yield function. Int J Plast 22:174–193. https://doi.org/10.1016/j.ijplas.2005.03.013

    Article  MATH  Google Scholar 

  18. Fukumasu H, Kuwabara T, Takizawa H, Yamanaka A (2018) Influence of hardening functions on earing prediction in cup drawing of AA3104 aluminum alloy sheet. In: Journal of Physics: Conference Series. IOP Publishing, p 12114

  19. Comsa DS, Banabic D (2007) Numerical simulation of sheet metal forming processes using a new yield criterion. In: Key Engineering Materials. Trans Tech Publ, pp 833–840

  20. Groche P, Scheitza M, Kraft M, Schmitt S (2010) Increased total flexibility by 3D Servo Presses. CIRP Ann 59:267–270

    Article  Google Scholar 

  21. Hesse D, Hoppe F, Groche P (2017) Controlling Product Stiffness by an Incremental Sheet Metal Forming Process. Procedia Manuf 10:276–285. https://doi.org/10.1016/j.promfg.2017.07.058

    Article  Google Scholar 

  22. Hoppe F, Pihan C, Groche P (2019) Closed-loop control of eccentric presses based on inverse kinematic models. Procedia Manuf 29:240–247. https://doi.org/10.1016/j.promfg.2019.02.132

    Article  Google Scholar 

  23. Ha J, Breunig A, Fones J, Hoppe F, Korkolis YP, Groche P, Kinsey BL (2019) AA1100-O cylindrical cup-drawing using 3D servo-press. In: IOP Conference Series: Materials Science and Engineering

  24. Johnson W, Mellor PB (1978) Engineering Plasticity. Van Nostrand Reinhold Company

  25. Ha J, Fones J, Kinsey BL, Korkolis YP (2020) Plasticity and formability of annealed, commercially-pure aluminum: Experiments and modeling. Materials (Basel) 13. https://doi.org/10.3390/ma13194285

  26. Anon (2004) ASTM E8 Standard Test Methods for Tension Testing of Metallic Materials. ASTM International, , Philadelphia

    Google Scholar 

  27. Barlat F, Brem JC, Yoon JW, Chung K, Dick RE, Lege DJ, Pourboghrat F, Choi S-H, Chu E (2003) Plane stress yield function for aluminum alloy sheets—part 1: theory. Int J Plast 19:1297–1319. https://doi.org/10.1016/S0749-6419(02)00019-0

    Article  MATH  Google Scholar 

  28. Barlat F, Aretz H, Yoon JW, Karabin ME, Brem JC, Dick RE (2005) Linear transfomation-based anisotropic yield functions. Int J Plast 21:1009–1039. https://doi.org/10.1016/j.ijplas.2004.06.004

    Article  MATH  Google Scholar 

  29. Lange K (1985) Handbook of metal forming. McGraw-Hill

    Google Scholar 

  30. Gil I, Mendiguren J, Galdos L, Mugarra E, de Argandoña ES (2016) Influence of the pressure dependent coefficient of friction on deep drawing springback predictions. Tribol Int 103:266–273

    Article  Google Scholar 

  31. Zabala A, Galdos L, Childs C, Llavori I, Aginagalde A, Mendiguren J, Saenz de Argandoña E (2021) The Interaction between the Sheet/Tool Surface Texture and the Friction/Galling Behaviour on Aluminium Deep Drawing Operations. Metals (Basel) 11:979

    Article  Google Scholar 

  32. Shisode M, Hazrati J, Mishra T, de Rooij M, ten Horn C, van Beeck J, van den Boogaard T (2021) Modeling boundary friction of coated sheets in sheet metal forming. Tribol Int 153:106554

    Article  Google Scholar 

  33. Senior BW (1956) Flange wrinkling in deep-drawing operations. J Mech Phys Solids 4:235–246

    Article  Google Scholar 

  34. Yu TX, Johnson W (1982) The buckling of annular plates in relation to the deep-drawing process. Int J Mech Sci 24:175–188

    Article  Google Scholar 

  35. Chu E, Xu Y (2001) An elastoplastic analysis of flange wrinkling in deep drawing process. Int J Mech Sci 43:1421–1440

    Article  Google Scholar 

  36. Timoshenko SP, Gere JM (1961) Theory of elastic stability. McGraw-Hill

    Google Scholar 

  37. Brush DO, Almroth BO (1975) Buckling of bars, plates, and shells. McGraw-Hill

    Book  Google Scholar 

  38. Cao J, Boyce MC (1997) Wrinkling behavior of rectangular plates under lateral constraint. Int J Solids Struct 34:153–176

    Article  Google Scholar 

  39. Chen K, Korkolis YP (2020) Industry 4.0 in stamping: A wrinkling indicator for reduced-order modeling of deep-drawing processes. Procedia Manuf 51:864–869

  40. Chen K, Korkolis YP (2021) A simplified model of elastic column buckling under constant lateral force restraint. Arch Appl Mech 91:2817–2832

    Article  Google Scholar 

  41. Chen K, Korkolis YP (2021) Buckling and Post-Buckling of an Elastica Under a Lateral Restraining Force. Int J Solids Struct 111178

  42. Groche P, Hoppe F, Sinz J (2017) Stiffness of multipoint servo presses: Mechanics vs. control. CIRP Ann 66:373–376. https://doi.org/10.1016/j.cirp.2017.04.053

    Article  Google Scholar 

  43. Allwood JM, Duncan SR, Cao J et al (2016) Closed-loop control of product properties in metal forming. CIRP Ann 65:573–596

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by NSF award CMMI-1727490 and DFG award 386415239. This support is acknowledged with thanks.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kelin Chen.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 208 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, K., Breunig, A., Ha, J. et al. Robustness of deep-drawing finite-element simulations to process variations. Int J Mater Form 15, 45 (2022). https://doi.org/10.1007/s12289-022-01695-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12289-022-01695-3

Keywords

Navigation